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Frontiers of Information Technology & Electronic Engineering >> 2020, Volume 21, Issue 12 doi: 10.1631/FITEE.2000315

Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system

Affiliation(s): School of Automation, Central South University, Changsha 410083, China; Department of Computer and Information Sciences, Northumbria University, Newcastle NE1 8ST, UK; less

Received: 2020-07-02 Accepted: 2020-12-10 Available online: 2020-12-10

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Abstract

We study a system assisted by (UAVs), where the UAVs act as edge servers to provide computing services for Internet of Things devices. Our goal is to minimize the energy consumption of this system by planning the trajectories of UAVs. This problem is difficult to address because when planning the trajectories, we need to consider not only the order of stop points (SPs), but also their deployment (including the number and locations) and the association between UAVs and SPs. To tackle this problem, we present an energy-efficient algorithm (TPA) which comprises three phases. In the first phase, a algorithm with a variable population size is adopted to update the number and locations of SPs at the same time. In the second phase, the

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